XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/8: Land]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: AUTOMATED CONSTRUCTION OF COVERAGE CATALOGUES OF ASTER SATELLITE IMAGE FOR URBAN AREAS OF THE WORLD Hiroyuki Miyazaki, Koki Iwao, Ryosuke Shibasaki

Document type:: Multivolume work

Structure type:: Chapter

XXXIX-B8, 2012 el for prediction of a Tropica, 96 (2-3), Li, B., 2010. Linear lata for monitoring inds. International 2-4333. , Koch, M. and and temporal literranean wetland ournal of Remote 2. Spectral mixture g Landsat TM and f Remote Sensing, e remote sensing of nt, 10 (5), pp. 381- tin, S., Scheer, G., 1 the Santa Monica al mixture models. 67-279. P.E., 2007. VIPER ty of California at ccessed: March 8, J.B., 1993. Green d soils in AVIRIS >), pp. 255-269. | of gross primary ding with MODIS ^ Observation and J.M., and Novo, vegetation: theory > and Assessment, .G., 1982. On the er data. Canadian d Hilker, T., 2011. ge adoption using y. Remote Sensing X.H., Jiang, Q.W., The public health China — then and ek, J.G., 2010. An eflectance fusion emote Sensing of AUTOMATED CONSTRUCTION OF COVERAGE CATALOGUES OF ASTER SATELLITE IMAGE FOR URBAN AREAS OF THE WORLD Hiroyuki Miyazaki “*, Koki Iwao °, Ryosuke Shibasaki * * Center for Spatial Information Science, The University of Tokyo, Japan - (heromiya, shiba)@csis.u-tokyo.ac.jp ^ National Institute of Advanced Industrial Science and Technology, Japan — iwao.koki@aist.go.jp Commission VIII, WG VIII/8 KEY WORDS: coverage catalogue, urban area, gazetteer, ASTER, metadata database ABSTRACT: We developed an algorithm to determine a combination of satellite images according to observation extent and image quality. The algorithm was for testing necessity for completing coverage of the search extent. The tests excluded unnecessary images with low quality and preserve necessary images with good quality. The search conditions of the satellite images could be extended, indicating the catalogue could be constructed with specified periods required for time series analysis. We applied the method to a database of metadata of ASTER satellite images archived in GEO Grid of National Institute of Advanced Industrial Science and Technology (AIST), Japan. As indexes of populated places with geographical coordinates, we used a database of 3372 populated place of more than 0.1 million populations retrieved from GRUMP Settlement Points, a global gazetteer of cities, which has geographical names of populated places associated with geographical coordinates and population data. From the coordinates of populated places, 3372 extents were generated with radiuses of 30 km, a half of swath of ASTER satellite images. By merging extents overlapping each other, they were assembled into 2214 extents. As a result, we acquired combinations of good quality for 1244 extents, those of low quality for 96 extents, incomplete combinations for 611 extents. Further improvements would be expected by introducing pixel- based cloud assessment and pixel value correction over seasonal variations. 1. INTRODUCTION Urbanization has been a main concern for regional and global environmental change (Foley et al., 2005) and socio-economic problems (Angel, Sheppard, and Civco, 2005). Various kinds of studies have used satellite-derived global urban area maps to evaluate critical aspects of urbanization for global environmental change, such as size, scale and form of cities and conversion of land cover. The studies using global urban area map had provided valuable information of urbanization especially for less documented regions. As the studies on urbanization progressed, however, 1-km spatial resolution of global urban area map have gotten obsolete for measuring spatial structure of urban area in fine scale (Angel, Sheppard, and Civco, 2005) and for modelling land use conversion with socio-economic variables (Nelson and Robertson, 2007). Developing high-resolution urban area map would be key issue for promoting new insights on urban dynamics. Several studies had developed urban area map only for their cases using high- resolution satellite images (e.g. Landsat, Terra/ASTER, IKONOS and Quickbird) and shown valuable outcome; however mapping urban area using high-resolution satellite images involves considerable time and labour cost. It prevents comprehensive and comparative studies on urban dynamics on world’s cities. Extents of urban area are often broader than coverage of a satellite images. Therefore, you are required to collect satellite images for a city when you conduct satellite-based analysis of urban area of the city. We regard ready-to-use collection of satellite images for every city will promote comprehensive studies of urban area using satellite images. In this paper, we present a method for constructing catalogues of satellite images of cities of the world. We also present a result of the method applied to metadata database of ASTER satellite images for 3372 cities of the world. 2. METHODOLOGY The procedure for selecting satellite images for a city from millions of scenes of ASTER/VNIR is as following: defining inclusion extent, within which we constructed a mosaic of satellite images for a target crowd of cities (COC); sending a spatial query to identify scenes covering the inclusion extent; and assigning the orders to reduce cloud contamination. Here, we describe each step. 2.1 Defining urban extent of cities For the urban area mapping, we had to define the spatial extent to be mapped. Fortunately, many existing maps of broad scale have already spatially indexed the cities of the world with geographical coordinates. Among them, we employed GRUMP Settlement Points (GSP; http://sedac.ciesin.columbia.edu/gpw/), a global gazetteer of populated places, as a primary index of the cities. The first reason of using it is that it had an almost complete coverage for the cities of more than 1000 population. Second, it had been manually associated to geographical coordinates of the cities. This direct human input is indispensable for accurate association of place names with geographic data because insufficient information from the source prevents automatic matching (Doerr and Papagelis, 2007). Third, GSP includes the estimated population of each city, which can be used to order priority of the urban area mapping.

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